Title :
GANGLION-a fast field-programmable gate array implementation of a connectionist classifier
Author :
Cox, Charles E. ; Blanz, W. Ekkehard
Author_Institution :
IBM Almaden Res. Center, San Jose, CA, USA
fDate :
3/1/1992 12:00:00 AM
Abstract :
71 The architecture, implementation, and application of GANGLION, a totally digital connectionist classifier, are described. This fully interconnected feedforward net with one hidden layer is capable of generating 4.48 billion interconnection/s. The architecture is realized on a single 9U VME card and is built entirely from off-the-shelf components. The very high throughput of 20 million decision/s is achieved by making efficient use of field-programmable gate arrays. Specifically, the authors take advantage of the reprogrammability of the devices to automatically generate new custom hardware for each application of the classifier
Keywords :
computerised pattern recognition; logic arrays; neural nets; 9U VME card; GANGLION; artificial neural networks; connectionist classifier; fast FPGA implementation; field-programmable gate array; fully interconnected feedforward net; hidden layer; Algorithm design and analysis; Character recognition; Classification algorithms; Field programmable gate arrays; Hardware; High speed optical techniques; Integrated circuit interconnections; Machine vision; Optical character recognition software; Throughput;
Journal_Title :
Solid-State Circuits, IEEE Journal of